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AI doesn't stop changing after approval. Neither should assurance. Enterprises are deploying AI systems and autonomous agents with increasing access to sensitive data, business tools and critical workflows. But what happens when an approved AI agent gains new permissions, accesses new data or starts making decisions beyond its original scope? MetricsLM helps organisations answer that question. We are building a continuous AI assurance platform that connects what an AI system was approved to do with how it operates as it evolves. How MetricsLM works: → Define: Establish the approved purpose, permissions, autonomy and operating boundaries. → Baseline: Capture the approval conditions and supporting evidence. → Detect: Identify material changes to permissions, tools, data access and agent behaviour. → Reassess: Determine when changes require a new assurance decision, maintaining an audit-ready evidence trail. Built for enterprise security, AI governance, risk and compliance teams. MetricsLM helps organisations maintain visibility into AI systems, support accountable decision-making and demonstrate ongoing assurance. Our approach aligns with leading AI governance and security frameworks, including ISO/IEC 42001, NIST AI RMF and the EU AI Act. Our belief: AI approval is a starting point. Trust must be continuously demonstrated. 🌐 MetricsLM.ai

Website https://metricslm.ai/
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Lehar Gupta is the Founder and Director of MetricsLM.

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